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In a later article on the subject Nowotny states that transdisciplinarity entails<br />

contributing “to a joint problem solving that is more than just juxtaposition; more than<br />

just laying one discipline along side another” (Nowotny 2007:1), and argues that in<br />

‘Mode 2’ <strong>knowledge</strong> has become more ‘transgressive’, travelling across different<br />

institutions and structures, and between science and society.<br />

A transdisciplinary mode consists in a continuous linking and relinking, in<br />

specific clusterings and configurations of <strong>knowledge</strong> which is brought<br />

together on a temporary basis in specific contexts of application’ (Gibbons<br />

et al. 1994:29).<br />

In transdisciplinary contexts, disciplinary <strong>boundaries</strong>, distinctions between<br />

pure and applied research, and institutional differences between say,<br />

universities and industry, seem to be less and less relevant’ (Gibbons et al.<br />

1994:30).<br />

The emergence of trandsciplinary <strong>knowledge</strong> will, Gibbons, Nowotny et al. argue,<br />

require new forms of quality control, as the new fusion of expertise and <strong>knowledge</strong><br />

cannot be judged according to the conventions of the antecedent disciplines. But<br />

transdisciplinary <strong>knowledge</strong> also offers great opportunities for participation in a<br />

<strong>knowledge</strong> economy, and in particular they argue that new forms of quality control<br />

will have to ac<strong>knowledge</strong> the way in which social value not only makes science more<br />

accountable but also leads to better technical solutions.<br />

The notion of transdisciplinarity is most notable for the way in which it conflates the<br />

exchange of <strong>knowledge</strong> across disciplines (what is traditionally referred to as<br />

interdisciplinarity) <strong>with</strong> both the involvement of future users in the research process<br />

and the breakdown of a separation between universities and other institutions.<br />

However, in this useage the concept of interdisciplinarity is at risk of losing the very<br />

specificity from which its value in generating <strong>innovation</strong> might be deduced. In the<br />

policy literature reviewed above the focus tends to be on <strong>innovation</strong>, and differences<br />

between interdisciplinarity and other forms of collaborative research are rarely<br />

explicated. In this context interdisciplinarity is at risk of becoming abstracted as an<br />

index of collaboration in general, which is in turn taken for granted as an index of<br />

<strong>innovation</strong>, <strong>with</strong>out the specificity of these relationships being drawn out. This is<br />

particularly true of Nowotny et al’s model of transdisciplinarity insofar as this concept<br />

begins to stand for the entire shift in the production of <strong>knowledge</strong> at a societal level,<br />

rather than referring to specific methodological processes.<br />

Attempts to define the methodological characteristics of interdisciplinary research in<br />

the academic literature often involve a focus on the distinction between multi- and<br />

inter- disciplinarity, as representing a distinction between ‘juxtaposition’ and<br />

‘integration’ respectively. For example, in a contribution to a recent internet forum on<br />

interdisciplinarity, Diane Rhoten claimed that much interdisciplinarity is a trend<br />

rather than a transition (Rhoten 2007). She argues that much of what is claimed to be<br />

interdisciplinarity is actually people working in isolation on different parts of a<br />

project. There is no integration of different disciplines or “reconceptualization and<br />

Innovation and Interdisciplinarity 105

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